Results 251 to 260 of about 23,458,446 (299)

Statistical Timing Analysis With Coupling

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006
As technology scales to smaller dimensions, increasing process variations and coupling induced delay variations make timing verification extremely challenging. In this paper, the authors establish a theoretical framework for statistical timing analysis with coupling.
Debjit Sinha, Hai Zhou 0001
openaire   +1 more source

Quantitative analysis of system coupling

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
To solve the problem that it is difficult to calculate system coupling in the field of systems science and software engineering, this article discussed quantitative analysis of system coupling. It is difficult to calculate system coupling in the field of system science and software engineering.
Yin Zhang 0002, Hua Zhou, Qing Duan, Yun Liao, Junhui Liu, Zhenli He   +5 more
openaire   +2 more sources

Coupled Behavior Analysis with Applications

IEEE Transactions on Knowledge and Data Engineering, 2012
Coupled behaviors refer to the activities of one to many actors who are associated with each other in terms of certain relationships. With increasing network and community-based events and applications, such as group-based crime and social network interactions, behavior coupling contributes to the causes of eventual business problems.
Longbing Cao, Yuming Ou, Philip S. Yu
openaire   +2 more sources

Distributed Polarization and Coupling Analysis of a 3-Coupled-Core Fiber

Optical Fiber Communication Conference (OFC) 2023, 2023
OFDR-based, distributed characterization of polarization and coupling properties of a 3-coupled-core fiber is reported. Results highlight the beating among the supermodes of the fiber, enabling the evaluation of their polarization and modal birefringence.
Martina Cappelletti, Daniele Orsuti, Riccardo Veronese, Nicolas K. Fontaine, Roland Ryf, Mikael Mazur, Haoshuo Chen, Marco Santagiustina, Andrea Galtarossa, Luca Palmieri 0001   +9 more
openaire   +1 more source

Analysis of emitter (source)-coupled multivibrators

IEEE Transactions on Circuits and Systems I: Regular Papers, 2006
The popular emitter-coupled multivibrator and its MOS variant are analyzed using the classical discontinuity theory. Accurate formulas for predicting their relaxation oscillation are obtained solving the nonlinear circuit equation, which is derived finding the voltage-current characteristic of the nonlinearity connected to the timing capacitor.
BUONOMO, Antonio, LO SCHIAVO, Alessandro
openaire   +3 more sources

The Concurrent Analysis of Married Couples

The Psychoanalytic Quarterly, 1948
(1948). The Concurrent Analysis of Married Couples. The Psychoanalytic Quarterly: Vol. 17, No. 2, pp. 182-197.
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Analysis of Strong Coupling in Coupled Oscillator Arrays

IEEE Transactions on Antennas and Propagation, 2010
Significant improvement in the mutual injection locking range (MILR) and phase noise can be obtained by strengthening the coupling between the oscillator elements in a coupled oscillator array (COA). An analysis of the array properties in the strongly coupled regime is provided in this paper.
V. Seetharam, L.W. Pearson
openaire   +1 more source

An analysis of nonstationary coupled queues

Telecommunication Systems, 2015
We consider a two dimensional time varying tandem queue with coupled processors. We assume that jobs arrive to the first station as a non-homogeneous Poisson process. When each queue is non-empty, jobs are processed separately like an ordinary tandem queue.
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Perturbation analysis via coupling

IFAC Proceedings Volumes, 1999
The problem of gradient estimation consists in obtaining an estimate of \(J'(\theta)\) from a sample of \(X_\theta\), where \(X_\theta\) is a parameterized random variable, \(\theta\in (a,b)\subset \mathbb{R}\), \(J(\theta)= E[L(X_\theta)]\), \(L(x): \mathbb{R}\to\mathbb{R}\).
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Coupling detrended fluctuation analysis for analyzing coupled nonstationary signals

Physical Review E, 2011
When many variables are coupled to each other, a single case study could not give us thorough and precise information. When these time series are stationary, different methods of random matrix analysis and complex networks can be used. But, in nonstationary cases, the multifractal-detrended-cross-correlation-analysis (MF-DXA) method was introduced for ...
L, Hedayatifar, M, Vahabi, G R, Jafari
openaire   +2 more sources